Built Environment and Urbanization Technology and Innovation
Comparison and evaluation of machine learning models for predicting indoor PM2.5 concentrations on a large spatiotemporal scale. Building Simulation.
This paper provides a framework for machine learning model comparison, validation, and attribution to assist future studies in examining nonlinear relationships between urban characteristics and indoor air pollutants.
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